Unveiling novel hyperglycosylated analog of human erythropoietin: A comprehensive computational exploration

The capability of human erythropoietin (hEPO) to treat anemia by stimulating erythropoiesis, has made it become one of the world’s leading biopharmaceuticals. An effective way to improve the efficiency of recombinant hEPO drugs is increasing glycosylation which can increase its serum half-life and thereby it’s in vivo biological activity. In this context, the objective of the present study was to explore potential glycosylation sites in hEPO to develop new hyperglycosylated analogous drug. A rational computational strategy was executed to select compatible region of hEPO for inserting N-linked glycosylation consensus motif (N-X-S/T), thus designing a number of analogs. The 3D models of the analogs were constructed by homology modeling and validated by various in silico tools. The probability of glycosylation was checked and hyperglycosylated models of the selected analogs were developed. Molecular docking and molecular dynamics simulation were performed to select the best analog. Among 40 analogs designed in this study, Analog-71.1 showed most promising results. Four possible sites of this analog showed good probability for glycosylation. According to the molecular docking study, the analog obtained high docking score (2313.711) and formed highest number of (25) hydrogen bonds with erythropoietin receptors, which indicated strong and stable interaction with the receptors. Moreover, the steady trajectory of RMSD, R gyr , RMSF and other findings obtained from MD simulation confirmed the structural stability of the analog. Our overall study has selected Analog-71.1 as a potential candidate to develop new analogous drug with enhanced efficiency, which needs further experimental analyses.

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Publication Details

Journal
Computational and Structural Biotechnology Reports
Published
2025-01-01
DOI
https://doi.org/10.1016/j.csbr.2024.100029
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
3.01
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article

Unveiling novel hyperglycosylated analog of human erythropoietin: A comprehensive computational exploration

Mohammad Shahedur Rahman, Abu Nasor Md Rakib Sarwar, Naima Thahsin, Khairul Islam Khan et al.
2 citations
Computational and Structural Biotechnology Reports
Computational Drug Discovery Methods
3.01
article

Unveiling novel hyperglycosylated analog of human erythropoietin: A comprehensive computational exploration

Mohammad Shahedur Rahman, Abu Nasor Md Rakib Sarwar, Naima Thahsin, Khairul Islam Khan, Mohammad Nazmus Sakib
article en
2 citations

Abstract

The capability of human erythropoietin (hEPO) to treat anemia by stimulating erythropoiesis, has made it become one of the world’s leading biopharmaceuticals. An effective way to improve the efficiency of recombinant hEPO drugs is increasing glycosylation which can increase its serum half-life and thereby it’s in vivo biological activity. In this context, the objective of the present study was to explore potential glycosylation sites in hEPO to develop new hyperglycosylated analogous drug. A rational computational strategy was executed to select compatible region of hEPO for inserting N-linked glycosylation consensus motif (N-X-S/T), thus designing a number of analogs. The 3D models of the analogs were constructed by homology modeling and validated by various in silico tools. The probability of glycosylation was checked and hyperglycosylated models of the selected analogs were developed. Molecular docking and molecular dynamics simulation were performed to select the best analog. Among 40 analogs designed in this study, Analog-71.1 showed most promising results. Four possible sites of this analog showed good probability for glycosylation. According to the molecular docking study, the analog obtained high docking score (2313.711) and formed highest number of (25) hydrogen bonds with erythropoietin receptors, which indicated strong and stable interaction with the receptors. Moreover, the steady trajectory of RMSD, R gyr , RMSF and other findings obtained from MD simulation confirmed the structural stability of the analog. Our overall study has selected Analog-71.1 as a potential candidate to develop new analogous drug with enhanced efficiency, which needs further experimental analyses.

Computational and Structural Biotechnology ReportsVol. 2
Jahangirnagar University (BD)
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Openalex Percentile: Top 11%
Computational Drug Discovery Methods
3.01
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Unveiling novel hyperglycosylated analog of human erythropoietin: A comprehensive computational exploration — Mohammad Shahedur Rahman, Abu Nasor Md Rakib Sarwar, et al. · Computational and Structural Biotechnology Reports (2025) | TGRS Research Map | TGRS